Drag the PMML processor the canvas and connect it to the
Normalize processor.

Configure the PMML processor like the following by selecting
the DriverViolationPredictionModel that you uploaded to the Model
Registry earlier. After this processor executes, a new field called
ViolationPredicted is added to stream for the result of the
prediction. In output fields, select all the contextual fields you want to pass on
including the model value result.

Determine if the model predicted if the driver will commit a violation by dragging a
rule processor to the canvas and configuring a rule like the
following:

If a violation is predicted, send it to a Druid to display on a dashboard. Drag the
Druid processor to canvas and configure. Stream the events into a
cube called alerts-violation-predictions-cube.